Results

What CMOs can learn from Parent Tested Parent Approved founder Sharon Vinderine

Sharon Vinderine, founder of Parent Tested Parent Approved, is passionate about authenticity, fending off "award washing" and rating products with reviews from real people.

On DisrupTV Episode 335, she also had advice for chief marketing officers.

Here's a look at the takeaways.

Traditional marketing is taking a hit and there's room for new models. Vinderine said traditional marketing has taken a hit because it is usually "about a brand yelling at you that we're the best and amazing."

"The reality is that when we're going out to buy something we are inevitably calling one of our friends or asking one of our peers 'hey what did you use? Was it effective and did it do what it said it was going to do?' We're typically buying based on those types of recommendations," she said.

The disruption. PTPA is focused on building a seal of approval so when you walk into the store you know it was peer endorsed. "If it was peer endorsed it's much more valuable than a brand telling you to buy their product," said Vinderine. "Right now, people are looking for authenticity. Consumers in general are much savvier than they were so fake reviews and influencer-based advertising doesn't work anymore."

"It's a trusted friend that's more important."

 

The inflection points. Vinderine, as leader of a wireless internet company, used to spend a lot of time on rooftops adjusting antennas. When she was pregnant there was an opportunity to sell the company.

"I became a new mom, and I was buying anything and everything for this perfect child. I was going to spend anything because you know what's more important than your child?" recalled Vinderine, who added she'd buy based on price and packaging.  “I would bring products home and they did not live up to expectations. They looked great but they actually didn't perform."

It became clear that Vinderine's friends had the best recommendations. "I wanted to find a way to sift through those piles of products especially at the stage where moms were doing the most research--pregnant and having first children," she explained.

A company was born. Success wasn't instant. Parents bought in, but brands didn't buy into programs. It took time, notably TV time, to build credibility. "What was beautiful was that community came about," said Vinderine. "One mom talked to another mom and then told the next one."

Challenges. Vinderine said "award washing" is a challenge in the industry. She said:

"This award-washing business kind of drives me nuts so I'm thrilled to have a platform to talk about it. These days it looks like everything is this top pick and top rated and a must have. There is a new award every single day. A lot of these other awards are either popularity contests or editorial focused. It's pay for play."

PTPA's model. Vinderine said brands pay for the opportunity to have their brand tested and researched, but if it doesn't earn PTPA's seal of approval they get a refund. "We are the only organization in North America that does that," she said. "In order to earn our seal, the product is shipped to members of our community for in-hand product testing. Families complete a detailed survey about their experience. Did it do what it promised to, and did it live up to expectations?"

"I encourage people to really research what kind of awards they are trusting and make sure there's actually a backbone behind them," said Vinderine.

Advice for CMOs and founders. "You need to start with a good product. If an entrepreneur is in it to make a quick buck it doesn't happen anymore because it's going to take about a minute and a half before somebody figures out you have a lousy product and it spreads like wildfire across social media," said Vinderine.

Simply put, a good product is the focus. Once a product is established "the way you market it needs to be different." "It's not an influencer world anymore. I want to hear from real authentic people that I can relate to," she said. "Instagram is a great medium but you will see me talking about a product not looking all glam but looking like a mom. I want to be relatable."

You will trust people in that same life stage as you and are relatable, she said.

CMOs need to keep in mind that building a business also means building an emotional connection with a consumer. Once that connection is built, consumers are "buying your product because they believe in you and your organization and what you stand behind," added Vanderine.

Venderine's advice is critical for PTPA. The community grows via word of mouth. "We haven't spent money on building our community. It has been word of mouth and television appearances," she said. "We try to act in the most authentic way possible because word of mouth is going to be how we continue to grow the community."

Marketing transformation:

Next-Generation Customer Experience Sales Marketing New C-Suite Marketing B2B B2C CX Customer Experience EX Employee Experience AI ML Generative AI Analytics Automation Cloud Digital Transformation Disruptive Technology Growth eCommerce Enterprise Software Next Gen Apps Social Customer Service Content Management Collaboration Chief Marketing Officer

Adobe reports strong Q3, ups outlook for Q4

Adobe reported better-than-expected third quarter earnings and raised its outlook for the fourth quarter. Adobe announced price increases for Creative Cloud starting Nov. 1.

Shantanu Narayen, CEO of Adobe, was bullish on the recent generative AI launches across the company's product portfolio. In prepared remarks, Narayen said advances across Creative Cloud, Document Cloud and Experience Cloud "are enabling us to attract an ever-growing set of users while delivering more value to existing customers."

Adobe reported third quarter earnings of $3.05 a share on revenue of $4.89 billion, up 10% from a year ago. Non-GAAP earnings were $4.09 a share.

Wall Street was looking for non-GAAP earnings of $3.98 a share on revenue of $4.87 billion.

As for the outlook, Adobe projected fourth-quarter revenue of $4.97 billion to $5.02 billion with earnings between $4.10 a share to $4.15 a share. Wall Street was looking for earnings of $4.06 a share on revenue of $5 billion.

In the third quarter, Adobe's Digital Media revenue was $3.59 billion, up 11% from a year ago. Creative Cloud revenue was the bulk of the revenue at $2.91 billion followed by Document Cloud at $685 million.

Digital Experience revenue in the third quarter was $1.23 billion, up 10% from a year ago.

Key metrics from the quarter include:

  • Firefly users have generated more than 2 billion images.
  • Customer wins include Amazon, Havas, Paramount, SAP and Take-Two Interactive.
  • Adobe plans on having more than 10,000 people at its MAX conference where it intends to outline more AI advances.
Marketing Transformation Data to Decisions Innovation & Product-led Growth Future of Work Tech Optimization Next-Generation Customer Experience Digital Safety, Privacy & Cybersecurity adobe ML Machine Learning LLMs Agentic AI Generative AI AI Analytics Automation business Marketing SaaS PaaS IaaS Digital Transformation Disruptive Technology Enterprise IT Enterprise Acceleration Enterprise Software Next Gen Apps IoT Blockchain CRM ERP finance Healthcare Customer Service Content Management Collaboration Chief Information Officer Chief Marketing Officer Chief Executive Officer Chief Technology Officer Chief AI Officer Chief Data Officer Chief Analytics Officer Chief Information Security Officer Chief Product Officer

Oracle, Microsoft launch Oracle services within Azure data centers

Oracle and Microsoft said that Oracle Cloud Infrastructure Database Services will run in Microsoft Azure data centers. The move expands the footprint for Oracle services by leveraging Microsoft Azure infrastructure.

The companies said Oracle Database@Azure will run Oracle Database on OCI and include artificial intelligence services such as Azure OpenAI. Microsoft and Oracle argue that the partnership will enable customers to run workloads where they want. Purchasing and management will also be simplified.

At an event, Oracle CTO Larry Ellison and Microsoft CEO Satya Nadella talked up the partnership. Ellison said Oracle will be co-located within Azure data centers. Nadella said "AI exists because of data. Anything you do around AI you need access to data. We can now take AI where the data is. It requires low latency access," said Nadella, who said enterprise data often resides in Oracle databases.

Ellison said the partnership makes it easier to move to the cloud including all of those on-premises Oracle databases. "We're trying to make it easier for customer to move the entire workload to the cloud and be easier managed," said Ellison, who noted the partnership during Oracle's earnings call.

He added that the combination will create one multi-cloud system where Oracle data stores will be in the Azure console. The two companies cited Fidelity, PepsiCo and Vodafone as customers of the joint effort. Oracle will operate and manage OCI services directly within Azure data centers in North America and Europe.

Oracle and Microsoft have a history of partnership announcements that seem to be refreshed often. For instance, Oracle and Microsoft outlined an interoperability partnership between clouds in 2019. In 2022, the two companies announced the general availability of Oracle Database Service for Microsoft Azure.

The relationship between the two companies isn't hard to understand. For starters, Oracle and Microsoft have a bevy of joint customers including AT&T, Marriott and Veritas to name a few. In addition, both Oracle and Microsoft have a common set of foes--namely Amazon Web Services and Google. And finally, Oracle and Microsoft see generative AI as an avenue to gain cloud share vs. their common rivals. There’s mutual gain to bringing data stores closer to AI services.

Constellation Research analyst Holger Mueller noted that one key part of the Oracle and Microsoft collaboration is the ability to run Oracle databases on Exadata on Azure. "You can now have Oracle DB in Exadata in Azure," said Mueller. "It is the fastest, more efficient platform for Oracle DB and it's running for first time in another cloud--still managed by Oracle. Oracle is now a cloud hardware vendor too." 

Key points about Oracle Database@Azure include:

  • Options to move Oracle databases to the cloud via Azure.
  • Feature and pricing parity.
  • A single operating environment.
  • Tools to build cloud native applications using OCI and Azure.
  • Architecture is supported by both companies.
  • The ability to buy Oracle Database@Azure through Azure Marketplace using existing Azure agreements.
  • Customers can use Oracle Database license within Azure.
  • Support for Oracle Exadata Database services, Oracle Autonomous Database services, and Oracle Real Application Clusters (RAC).

Research

Data to Decisions Innovation & Product-led Growth Future of Work Tech Optimization Next-Generation Customer Experience Digital Safety, Privacy & Cybersecurity Oracle Microsoft Big Data AI GenerativeAI ML Machine Learning LLMs Agentic AI Analytics Automation Disruptive Technology Chief Information Officer Chief Technology Officer Chief Information Security Officer Chief Data Officer Chief Executive Officer Chief AI Officer Chief Analytics Officer Chief Product Officer

Tech News, CIO Survey Data, New Research | ConstellationTV Episode 65

 

On ConstellationTV episode 65, co-hosts Doug Henschen and Larry Dignan give the rundown on the latest tech news trends, then CR analyst Dion Hinchcliffe fresh insights from his recent #CIO survey & Doug outlines his research on data catalogs accelerating #GenerativeAI. The episode concludes with the Constellation "dance card" of enterprise tech events our analysts will be covering.

00:00 - Introduction
01:15 - Tech News Updates - New iPhone launch, Google Cloud, quantum and more
11:40 - New CIO Survey with Dion Hinchcliffe
17:36 - Latest Research: How Data Catalogs Will Benefit From & Accelerate Generative AI
25:42 - Constellation Dance Card - Event Schedule
33:32 - Bloopers ConstellationTV is a bi-weekly Web series hosted by Constellation analysts.

The show airs live at 9:00 a.m. PT/ 12:00 p.m. ET every other Wednesday.

On ConstellationTV <iframe width="560" height="315" src="https://www.youtube.com/embed/2p_morwOdEg?si=N1o9itcRUIQgPRFe" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
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Adobe raises Creative Cloud prices, adds generative AI credits

Adobe is raising Creative Cloud prices starting Nov. 1 and introducing a credit system for generative AI capabilities across the product suite.

As vendors are launching generative AI features, prices are rising via add-ons, seats or subscriptions. Adobe's approach is to raise prices for Creative Cloud and include generative AI monthly credits.

Going forward, Creative cloud will include an allocation of Generative Credits, or tokens that will enable generative AI features. For instance, customers will be able to turn a text-prompt into image and vector content in Photoshop, Illustrator, Express and Firefly.

Users on free plans will also get Generative Credits but be prompted to subscribe to continue creating assets. Generative Fill, Generative Expand, Text to Image, Generative Recolor will be one credit and text effects will be one credit.

Here's a look at the price increases across Creative Cloud.

Creative Cloud for individual Single App Plans, which include Generative Credits, Adobe Express and Firefly.

  • A $2 increase for annual billed monthly option to $22.99 per month.
  • A $3 increase for month-to-month option to $34.49 per month.
  • A $24 increase for annual prepaid option to $263.88 per year.

Creative Cloud for Individual All Apps Plan including Generative Credits, Adobe Express and Firefly.

  • A $5 increase for annual billed monthly option to $59.99 a month.
  • A $7.50 increase for the month-to-month plan to $89.99 per month.
  • A $60 increase for annual prepaid option to $659.88 per year.

Creative Cloud for Teams including Generative Credits, Adobe Express and Firefly.

  • A $2 increase for Teams single apps plans including Pro Edition to $37.99 per month, per license.
  • A $5 increase for Teams All Apps plan including Pro Edition to $89.99 per month per license.

Enterprise accounts will see price increases, but changes will vary.

Adobe said there will be no changes to Creative Cloud pricing plans for students, teachers and education, Adobe Stock plans and mobile among others.

Aside from the price increases, Adobe launched a bevy of new items including Adobe Firefly models and web application are generally available, Firefly native integration with Creative Cloud, Content Credentials for Firefly, and availability for Adobe Firefly for Enterprise. Adobe also outlined Adobe Gen Studio.

Constellation Research's Liz Miller's take

Constellation Research analyst Liz Miller put the Adobe price increases in context. She said:

"The price increase on Creative Cloud was expected and many customers were actually expecting this to be a bigger number compared to the functional additions to the suite, especially considering all of the advancements to Creative Cloud in the last 12 months. The feedback I am hearing is one of relief that 1) the increase is commensurate with the value they are adding, and that 2) the AI credits make Firefly accessible for what they need without feeling like they are paying off an innovation bill with a large blanket increase.

For the Firefly and generative AI tools that will leverage the credits model, for the enterprise users, much of this will be bundled in an unlimited model and is evenly stacked for the utilization of Firefly and the new GenAI tools.

Not all GenerativeAI creative tools are created equal and predictably their costs are certainly not equal. Adobe is focusing on the business users that are applying AI and generative AI tools for commercially safe and enterprise ready assets and content. The Firefly suite of models is intentionally diverse and purposefully connected. While it is easy to assume these increases are just to offset compute or data costs there is also a cost to commercial safety and viability of what is being created. If those guardrails and authenticity measures are important for you business these costs are minor shifts compared to the liability of assets created without those safety measures in place."

Also:

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Employees flocking to generative AI tools as corporate policies lag, says survey

Employees are adopting generative AI tools to accomplish work tasks even though enterprises are lagging with official policies, according to a survey from The Conference Board.

The survey found that 56% of workers are using generative AI on the job with almost 10% of them using the technology daily. The catch is that 26% of respondents say their organization has a generative AI use policy, said The Conference Board.

Another 23% of employees noted that their companies have generative AI policies under development.

In the big picture, generative AI adoption is following the same pattern as mobile and cloud. Employees often lead the way with new technologies before employers officially adopt them.

Research: How Generative AI Has Supercharged the Future of Work | How Data Catalogs Will Benefit From and Accelerate Generative AI | Analytics and Business Intelligence Evolve for Cloud, Embedding, and Generative AI | 2023 H1 CxO Business Confidence Survey

The big issue for enterprises, however, is segmenting corporate data from generative AI. Without policies and generative AI tools in place, employees will roll their own tech stack. Vendors are racing to provide features and rolling out pricing plans.

The Conference Board survey was based on nearly 1,100 US employees.

Among the key findings from The Conference Board survey:

  • 31% report using generative AI frequently with 17% using the technology weekly.
  • 44% of employees have never used generative AI.
  • Of those that have adopted generative AI, 71% say management is at least partially aware.
  • 68% said drafting written content was the primary use case for generative AI followed by 60% who said brainstorming ideas was a use case.
  • 19% of employees said they're using generative AI for analyzing data and making forecasts.
  • 45% said that generative AI quality is equal to an experienced worker with 31% saying quality is equal to a novice worker.
  • 63% said generative AI positively impacted productivity.
  • 33% said AI will replace elements of their job in a positive way with 4% saying it will have a negative impact. 

 

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Apple's Double Tap gesture on Apple Watch sets up Vision Pro UI handoff

Apple's biggest innovation at its Apple Watch Series 9 and iPhone 15 event may be a double tap finger gesture for the Apple Watch that will make the Vision Pro customer experience more familiar.

The Apple event went off as expected--a series of incremental updates--with a few surprises. The biggest surprise was an Apple Watch update that has a new processor (S9) that has a neural engine that can handle Siri requests on device. For the enterprise, there wasn't much there to note.

The double tap gesture--used with your thumb and finger--is enabled by data on the new Apple Watch from the gyroscope, accelerometer, and machine learning. With S9 doing the work, Apple is trying to popularize a gesture that's easy and can answer phones easily.

What's notable about double tap is that it paves the way for Vision Pro interactions. CEO Tim Cook noted that Vision Pro is on schedule and will ship early in 2024. Now the market for Vision Pro is likely to be small given the price tag of $3,499, but Apple is smart by making Apple Watch the UI warmup act for hand gestures.

On Vision Pro, there are a series of hand gestures that will be available to developers. By integrating some of these gestures into other Apple products, the company makes its Vision Pro UI more familiar. And given the installed base of Apple Watch, a lot more people will be familiar with double tap and similar gestures. Apple is also setting up the Vision Pro with the iPhone 15 Pro Max and its ability to take video that can be shared with its mixed reality headset. 

Apple Watch is the set-up product for Vision Pro when it comes to mainstreaming hand gestures. Apple said in a release.

“Double tap controls the primary button in an app so it can be used to stop a timer, play and pause music, or snooze an alarm. The gesture can be used to answer and end a phone call, and even to take a photo with the Camera Remote on Apple Watch. Double tap will also open the Smart Stack from the watch face, and another double tap will scroll through widgets in the stack.

This new double tap gesture is enabled by the faster Neural Engine in Apple Watch Series 9, which processes data from the accelerometer, gyroscope, and optical heart sensor with a new machine learning algorithm. The algorithm detects the unique signature of tiny wrist movements and changes in blood flow when the index finger and thumb perform a double tap. The double tap gesture will be available in a software update next month.”

Other observations:

  • Apple is holding the pricing line on iPhone 15 and iPhone 15 Plus. Apple's iPhone 15 Pro is expected to keep average selling prices high with perks such as a titanium frame and camera improvements only available on the high-end model. The high-end models start at the same prices as the previous versions. It's worth noting that Apple is also offering good trade-in deals to goose sales. Samsung runs the similar play. 

  • The 2-year free Satellite service is a nice touch for iPhone 15.
  • By using local processing hopefully Siri will become quicker and more reliable. Siri can also be used to access Health app data without connectivity.
  • Hearing Apple dance around USB-C was comical given the EU is forcing the company to ditch the Lightning Cable in the name of e-waste. Apple noted that USB-C is used in its other products and now comes to the iPhone.

  • Apple Watch's battery life still hasn't moved the needle much. Apple touted 18-hour battery life with the Ultra at a baseline of 36 hours. For comparison, my two-year-old Garmin Fenix Solar is 97% charged and has 20 days of battery life left.

 

Next-Generation Customer Experience apple Chief Information Officer

Salesforce launches Einstein 1 Platform, enables metadata across platform, Data Cloud

Salesforce launched a rebuilt Data Cloud and Einstein 1 Platform that is now native to a unified metadata framework to go along with a series of product updates designed to make generative AI easier to implement. Salesforce also introduced a series of copilots across core clouds such as sales, service and marketing.

By enabling metadata across the Salesforce platform, the bet is that the data model is in place to automatically customize and update across enterprise applications. The revamped Data Cloud, dubbed the Einstein 1 Data Cloud, will also be connected to the Einstein Trust Layer.

The Einstein 1 Platform underpins all applications and connects Salesforce apps and services in a stack held together by the metadata framework.

According to Salesforce, Einstein 1 Platform is a hyperscale data engine inside Salesforce that connects all of your data with 2 trillion records processed per month. Within Data Cloud, enterprises will be able to prepare and transform data, map to a unified metadata model and resolve customer identities.

Marc Benioff, CEO of Salesforce, said during the company's second quarter earnings conference call that Data Cloud will be a major focus of Dreamforce 2023, which will feature more than 1,500 sessions and more than 200,000 attendees in person and virtual. Data Cloud's revamp is part of a series of Salesforce AI moves. 

Speaking at Dreamforce, Salesforce CEO Marc Benioff said:

"We are now the third largest software company in the world [with $34.8 billion in revenue] and the second-largest software company in Japan, where we just surpassed Oracle. We did it with a huge focus on growth and values: Trust, Customer Success, Innovations, Equality and sustainability."

He also talked up the impact of AI on productivity.

"This burst of artificial intelligence is like nothing we’ve seen before. It’s incredible what’s going on, but here’s the thing: We also recognize that it’s going to impact who we are and how we operate, but it’s going to bring us back to our core values. Salesforce is already the largest AI platform used around the world. Where about to hit another wave with general artificial intelligence. There's no question that this AI wave is going to change everything, so what we do matters."

Benioff's bet is that Data Cloud will be a big part of the AI ecosystem. Data Cloud will connect to a bevy of data lakes and warehouses including Snowflakes, Google Cloud and Databricks as well as models from AWS, Anthropic, Cohere, Databricks, Google Cloud and OpenAI.

In addition, Salesforce is enabling free Data Cloud and Tableau for customers with Enterprise and Unlimited Editions. Customers can unify 10,000 profiles with two Tableau Creator licenses.

Constellation Research analyst Doug Henschen, who contributed to this report from Dreamforce in San Francisco, put the Salesforce moves in context. Henschen said:

"Unified metadata management is a key theme that many data platforms vendors are pursuing – with Databricks highlighting Unity Catalog and Google pushing Dataplex, for example – so it’s no surprise to see this added to the unifying data-management capabilities associated with the Salesforce Data Cloud. The free instances of both Data Cloud and Tableau are Salesforce’s push to accelerate adoption of its data platform and leading analytics product throughout the Salesforce customer base, though it’s also promising openness and compatibility with incumbent data-platform choices such as Snowflake, Databricks and Google BigQuery. My take is that Data Cloud deserves consideration from any customer that uses multiple Salesforce clouds and that requires customer identity resolution. The jury is out on Data Cloud’s utility and cost-effectiveness as a general data platform for managing non-Salesforce data.

Tableau keeps gaining tighter integration with Salesforce, with the latest advances including Lighting app-building capabilities. Salesforce CRM Analytics, meanwhile, is increasingly the foundation for pre-built and custom analytic applications. Customers with deep investments in third-party data platforms and analytic tools will have to weigh the touted 'Salesforce-Native' advantages of the Salesforce Data Cloud, pre-built analytic apps and Salesforce-integrated options including Tableau and CRM Analytics."

Research: How Data Catalogs Will Benefit From and Accelerate Generative AI | Constellation ShortListâ„¢ Embedded Analytics Platforms for Cloud Applications | Analytics and Business Intelligence Evolve for Cloud, Embedding, and Generative AI

Other key items from Salesforce's Dreamforce launches.

  • Einstein Trust Layer will use dynamic grounding to make data before it is sent to a large language model. There's zero data retention outside of Salesforce.
  • Einstein 1 Platform will include copilots across sales to enhance relationships, service to resolve cases, marketing for content creation and Tableau to highlight insights.
  • Einstein Copilot, a AI assistant built into the user experience of every Salesforce application. 
  • Einstein Copilot Studio, which will enable enterprises to customize with prompts, skills and models. 
  • Slack will be able to see and update Salesforce data, track work, automate with AI and summarize using AI.
  • All Salesforce clouds will get updates from the Einstein 1 Platform update. MuleSoft and Tableau will also get AI enhancements as will industry clouds with copilots for contracts, CPG, ESG, financial services, utilities, education and health to name a few. The glue of these efforts revolves around Salesforce's Data Cloud and metadata platform.

Henschen said:

"The promise of better-unified and more trustworthy metadata is clearly tied to delivering more accurate and trustworthy generative AI, natural language interaction, and search. What wasn’t quite clear, during analyst previews, was whether the new metadata framework is entirely behind the scenes or whether there might also be user-facing enhancements, such as new data catalog, data model, or business glossary interfaces, any and all of which would make the promise of better metadata management more tangible."

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SAS generative AI strategy focused on industries, integration, last mile models

SAS outlined its generative AI strategy that revolves around connecting its data science and analytics platform to a choice of large language models, focusing on "last mile" delivery of AI applications and focusing on industries. SAS also expanded a partnership with Microsoft to integrate SAS' orchestration platform with Microsoft Azure OpenAI.

According to SAS, the generative AI integration with Microsoft will be available in private preview in the fourth quarter.

SAS delivered its vision for generative AI integration and a set of industry-specific offerings at SAS Explore in Las Vegas. SAS' approach to generative AI is to partner, offer choice and focus on its core strengths such as digital twin simulations, data governance and expertise in data science and analytics.

Bryan Harris, SAS Chief Technology Officer, said the generative AI effort is part of a $1 billion investment in industry applications. "Our $1 billion investment in industry solutions includes the integration of trustworthy generative AI capabilities that are accurate, explainable and defendable," said Harris.

Also see: 

At SAS Explore, the company highlighted synthetic data generation via a patented extension to generative adversarial networks (GANs) that preserves privacy, mitigates bias and provides predictive models that serve as a foundation for digital twins, a core competency for SAS. The company has already integrated generative AI models into its SAS Customer Intelligence 360 platform.

Regarding the Microsoft partnership, SAS said they will aim to combine Azure scale with SAS orchestration of analytics and enterprise data. This integration will be aimed at industries such as banking, insurance, manufacturing, public sector and retail. "SAS is being characteristically conservative on generative AI developments, highlighting existing investments in synthetic data generation and digital twin simulations and pointing to integrations and coming private-preview experimentation with third-party large language models (LLMs)," said Constellation Research analyst Doug Henschen.

To round out its strategy, SAS outlined a series of updates and new capabilities. Here's a look:

  • SAS Viya, the company's data, AI and analytics platform, was updated to provide lightweight environments to create models and applications in Python, R or SAS and deploy them via the cloud. The company launched SAS Viya Workbench, which creates cloud-native apps and models in multiple languages. SAS Viya Workbench, currently in private preview, will also include Jupyter Notebook, Visual Studio Code and SAS Enterprise Guide with general availability in early 2024. SAS App Factory will automate the setup and integration of apps built on React, TypeScript and Postgres. SAS App Factory will be generally available in 2024.
  • SAS Energy Forecasting Cloud, an energy industry focused service, is built on SAS App Factory and enables utilities to combine data, generative AI and predictive models to forecast peak power demand and supply and demand. SAS Energy Forecasting Cloud will leverage models that absorb operational, weather and usage data from multiple sources including smart meters and IoT devices. The Los Angeles Department of Water and Power (LADWP) is a flagship customer of SAS Energy Forecasting Cloud.
  • SAS Customer Intelligence 360, a marketing platform, will be getting generative AI tools for campaign planning, content creation and journey design. Customers will be able to use their choice of foundational models, integrate LLMs with SAS connectors, apply natural language and accelerate content creation with human oversight and data privacy.
  • SAS Health, a platform for health data management, data automation and analytics, is generally available. SAS Health has a common health data model and predetermined mappings to industry standards. SAS Health is also connected to SAS Viya to deliver analytics and insights.
  • SAS said TD SYNNEX will be its primary global distribution partner to provide scale into industry-specific use cases.

"The coming SAS Viya Workbench and SAS App Factory SaaS services promise to accelerate the development of AI- and ML-based applications. The App Factory, in particular, is being targeted at vertical-industry innovation, starting with planned pre-built apps for the energy and healthcare industries," said Henschen. 

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Oracle's Q1 better than expected and Ellison loves generative AI

Oracle reported better-than-expected first quarter results as the company's infrastructure-as-a-service business gains generative AI workloads.

The company reported first quarter earnings of $2.4 billion, or 86 cents a share, on revenue of $12.45 billion, up 9% from a year ago. Non-GAAP earnings for the first quarter were $1.19 a share.

Wall Street was looking for Oracle to report first quarter earnings of $1.15 a share on revenue of $12.47 billion. Oracle's fourth quarter results shined due to cloud strength.

Oracle’s cloud revenue (IaaS and SaaS) was $4.6 billion, up 30% from a year ago. Of that cloud revenue, Oracle’s IaaS business had revenue of $1.5 billion in the first quarter, up 66% from a year earlier. Cloud application revenue in the first quarter was $3.1 billion, up 17% from a year earlier. 

Research

The ever-quotable Larry Ellison, CTO of Oracle, is clearly on the generative AI bandwagon. In a statement he said: "Is Generative AI the most important new computer technology ever? Maybe!” In 2008, Ellison panned cloud computing as the latest tech fashion trend but acknowledged that Oracle would make cloud announcements.

Today, Ellison is way faster to the generative AI mark and making cloud computing noise. Ellison said AI development companies have signed contracts to purchase more than $4 billion of capacity in Oracle’s Gen2 Cloud. “That's twice as much as we had booked at the end of Q4,” he said.

Oracle is grabbing generative AI workloads due to a tight partnership with Nvidia and its RDMA-connected superclusters. Oracle CEO Safra Catz said the recurring revenue stream from cloud generated $7 billion in operating cash flow in the first quarter. 

Catz previewed Oracle Cloud World and said announcements would revolve around:

  • Multi-cloud strategy.
  • Analytics.
  • Generative AI. 
  • Hardware and infrastructure advances. 
  • Customer stories and networking.

"Some of the customers you'll hear from are Nvidia, Uber, Cohere as well as partners such as VMware and Microsoft," said Catz. "There are a lot of discussions going on and you'll see announcements shortly." Indeed, Oracle's Ellison and Microsoft CEO Satya Nadella will have a joint announcement planned. The two companies have been ramping up connections between their clouds for joint customers. 

Ellison added that the Microsoft partnership will expand collaboration and enable Azure customers to leverage Oracle cloud applications and databases. 

Catz said Oracle has signed several deals for Oracle Cloud Infrastructure topping $1 billion. "My point here is that customer momentum is continuing to build. Our annual revenue growth will continue to accelerate going forward."

She added that Oracle saw strength in autonomous databases, cloud applications and cloud workloads. Catz added that Cerner and database migration to the cloud will also drive growth in the future. 

"Our biggest challenge is building data centers as quickly as possible," said Catz, who noted Oracle is also migrating Cerner to the cloud.

Here's the outlook in US dollars for the second quarter. Total revenue including Cerner is expected to grow 5% to 7%. Total revenue growth excluding Cerner will be 8% to 10%. Total cloud revenue excluding Cerner is expected to grow from 29% to 31%. Non-GAAP EPS will be $1.27 to $1.31 including Cerner and $1.30 to $1.34. Catz's takeaway is the the Cerner integration is a headwind, but the core business is gaining momentum. 

What spooked investors was the idea that Oracle would be funneling profits into capital expenses. Constellation Research analyst Holger Mueller said:

"Oracle did not deliver to expectations on the revenue side – and that is never a good thing. Traditional Q1 is weak for Oracle, due to summer and lack of potential Q4 closing incentives for both customers and sales processionals. But the cloud portfolio is growing, and Oracle is more profitable, growing generated cash flow and now putting $8B+ - more than 50% of generated cash flow – into CAPEX – for trailing last 4 quarters. Clearly, Larry Ellison and Safra Catz see a massive opportunity in AI and are walking the talk on the CAPEX side. Good to see all regions growing – which is not always the case in an Oracle Q1. Now it will be all to deliver to expectations in Q2. We will see."

Ellison said Elon Musk's X AI has signed a contract for workloads. He added that the Cerner unit is about to sign two big deals at $1 billion. Berkshire Hathaway's insurance units are also standardizing on Oracle Cloud ERP. 

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Here’s a breakdown of Oracle’s revenue in the first quarter.

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